docstr: The Leaderboard class is used for reading, updating, and saving leaderboard files within
  the 'HyperparameterHunterAssets/Leaderboards' subdirectory
  
  Parameters
  ----------
  data: pd.DataFrame, or None, default=None
      The starting state of the Leaderboard. If None, an empty DataFrame is used
docstr_tok: ["The","Leaderboard","class","is","used","for","reading",",","updating",",","and","saving","leaderboard","files","within","the","'HyperparameterHunterAssets\/Leaderboards","'","subdirectory","Parameters","--","--","--","--","--","data",":","pd.DataFrame",",","or","None",",","default=None","The","starting","state","of","the","Leaderboard",".","If","None",",","an","empty","DataFrame","is","used"]
code: def __init__(self, data=None):
      """The Leaderboard class is used for reading, updating, and saving leaderboard files within
      the 'HyperparameterHunterAssets/Leaderboards' subdirectory
  
      Parameters
      ----------
      data: pd.DataFrame, or None, default=None
          The starting state of the Leaderboard. If None, an empty DataFrame is used
      """
      self.data = data if data is not None else pd.DataFrame()
  
file_path: hyperparameter_hunter/hyperparameter_hunter/i_o/leaderboards.py
imports: from abc import ABCMeta, abstractmethod
  from collections import OrderedDict
  from numbers import Number
  import numpy
  import pandas
  from typing import Dict, List, Optional, Tuple
label_desc: Use image node_id 1 to create a new Leaderboard object  with example: obj = Leaderboard(data)